On the modeling of a sustainable system for urban development simulation using data mining and distributed agencies

Abstract

Social Simulation allows us to experiment in the social arena while avoiding unnecessary expenses and potential threats; a clear example of this is reflected in the simulation of urban growth, particularly if done without losing sight of the sustainable development necessary for maintaining the overall equilibrium of a city. This article provides a hybrid methodology using Distributed Agencies, cellular automaton, and dynamical systems to model the social processes of urban growth; raking in the most important data of the methodology through a corresponding method of data mining. Through the use of a qualitative and quantitative method we provide some important advancements in the field for the development of an appropriate understanding of social, economic and environmental aspects of urban growth.

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Cite this paper

@article{Marquez2010OnTM, title={On the modeling of a sustainable system for urban development simulation using data mining and distributed agencies}, author={Bogart Yail Marquez and Manuel Castanon-Puga and Juan R. Castro and E. Dante Suarez}, journal={The 2nd International Conference on Software Engineering and Data Mining}, year={2010}, pages={618-623} }